Muthuraman Thangaraj

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The current web IR system retrieves relevant information only based on the keywords which is inadequate for that vast amount of data. It provides limited capabilities to capture the concepts of the user needs and the relation between the keywords. These limitations lead to the idea of the user conceptual search which includes concepts and meanings. This(More)
Classification is an important task in data mining and machine learning, in which a model is generated based on training dataset and that model is used to predict class label of unknown dataset. Various algorithms have been proposed to build accurate and scalable classifiers in data mining. These algorithms are only applied to single table. Today most(More)
Classification is an important task in data mining and machine learning which has been studied extensively and has a wide range of applications. There are many classification problem occurs and need to be solved. There are different types of classification algorithms like tree-based, rule-based etc, are widely used. In this paper, a performance comparison(More)
The increasing growth of information in online digital libraries causes an increasing need to develop techniques to retrieve. In the digital library, findability-finding the user required information is a hectic task than those of usability. The major issues in findability are (a) topic diffusion: results of a traditional keyword based search, often leads(More)
Many data base applications require the storage and manipulation of different versions of data objects. To satisfy the diverse needs of these applications, current database systems support versioning [Hulten94] at a very low level. The proposed model demonstrates that an application independent versioning can be supported significantly at higher level. The(More)
All the domain and vertical applications are scaled up to the Big Data applications because of the volume, variety, velocity of growing real time data. This necessitates the streamlining and alteration in the business processes, software development methodologies, infrastructure of distributed parallel processing, data modeling, data analysis, applications,(More)
Internet of Things (IoT) is to connect objects of different application fields, functionality and technology. These objects are entirely addressable and use standard communication protocol. Intelligent agents are used to integrate Internet of Things with heterogeneous low-power embedded resource-constrained networked devices. This paper discusses with the(More)